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» Dynamic and Static Influence Models on Starbucks Networks
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CSE
2009
IEEE
15 years 4 months ago
How Did You Get to Know That? A Traceable Word-of-Mouth Algorithm
Word-of-mouth communication has been shown to play a key role in a variety of environments such as viral marketing and virus spreading. A family of algorithms, generally known as ...
Manuel Cebrián, Enrique Frías-Mart&i...
CSE
2009
IEEE
15 years 1 months ago
Churn Prediction in MMORPGs: A Social Influence Based Approach
Massively Multiplayer Online Role Playing Games (MMORPGs) are computer based games in which players interact with one another in the virtual world. Worldwide revenues for MMORPGs h...
Jaya Kawale, Aditya Pal, Jaideep Srivastava
CORR
2011
Springer
205views Education» more  CORR 2011»
14 years 4 months ago
Random Walk on Directed Dynamic Graphs
Dynamic graphs have emerged as an appropriate model to capture the changing nature of many modern networks, such as peer-to-peer overlays and mobile ad hoc networks. Most of the re...
Oksana Denysyuk, Luis Rodrigues
NIPS
2004
14 years 11 months ago
Modeling Conversational Dynamics as a Mixed-Memory Markov Process
In this work, we quantitatively investigate the ways in which a given person influences the joint turn-taking behavior in a conversation. After collecting an auditory database of ...
Tanzeem Choudhury, Sumit Basu
ICASSP
2009
IEEE
15 years 4 months ago
Extended VTS for noise-robust speech recognition
Model compensation is a standard way of improving the robustness of speech recognition systems to noise. A number of popular schemes are based on vector Taylor series (vts) compen...
Rogier C. van Dalen, Mark J. F. Gales